1887
Volume 52, Issue 3
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

2D electrical resistivity tomography (ERT) coupled with electrical resistivity profiling, induced polarisation, and self-potential (ER-IP-SP) measurements and pumping-test data has been used to acquire subsurface electrical properties for the assessment of groundwater reserves in weathered terrains of Huidong County, China. In this investigation, ERT was performed using a pole-dipole array with 305 measurements, and ER-IP-SP with 127 stations, both along three profiles. A least-squares inversion technique is used for the post processing of the ERT data to generate 2D models of the subsurface geologic units. The following deductions are made based on the 2D ERT modelling. The average depth of fresh basement is generally 10–30 m. Three distinct layers were interpreted, i.e. 5–10 m thick topsoil cover with resistivity <1800 Ωm (above the water table), 5–25 m thick weathered layer with resistivity <900 Ωm (below the water table), and fresh bedrock with resistivity >900 Ωm (below the water table). These layers comprise the 50 m thick overburden revealed by the inverted sections. The ERT models were incorporated with ER-IP-SP to delineate various discontinuities. Groundwater resources enclosed in the weathered/fractured zones were estimated by hydraulic conductivity () and transmissivity () into three different aquifer zones with specific ranges of and (i.e. high, medium, and low yield aquifer). The results suggest that the best potential groundwater resources are contained within fractures/discontinuous zones. The results are well in line with the hydrogeological information available for the investigated area. This geophysical approach is useful to assess the groundwater potential where the weathering has hydrogeological significance.

© 2020 Australian Society of Exploration Geophysicists
Loading

Article metrics loading...

/content/journals/10.1080/08123985.2020.1819158
2021-05-04
2026-01-16

  • From This Site

    /content/journals/10.1080/08123985.2020.1819158
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. ABEM Instrument, A.B.2006. Terrameter SAS4000/SAS1000 LUND imaging system, instruction manual.
  2. Acworth, I.2001. The electrical image method compared with resistivity sounding and electromagnetic profiling for investigation in areas of complex geology: A case study from groundwater investigation in a weathered crystalline rock environment. Exploration Geophysics, J32: 119–28.
     [Google Scholar]
  3. Akhter, G., and M.Hasan. 2016. Determination of aquifer parameters using geoelectrical sounding and pumping test data in Khanewal District, Pakistan. Open Geosciences8, no. 1: 630–8.
     [Google Scholar]
  4. Alile, M.O., S.I.Jegede, and O.M.Ehigiator. 2008. Underground water exploration using electrical resistivity method in Edo State, Nigeria. Asian Journal of Earth Sciences1: 38–42.
     [Google Scholar]
  5. Archie, G.E.1942. The electrical resistivity log as an aid in determining some reservoir characteristics. American Institute of Mineral and Metal Engineering. Technical Publication 1422, Petroleum Technology146: 54–62.
     [Google Scholar]
  6. Berkowitz, B.2002. Characterizing flow and transport in fractured geological media: A review. Advances in Water Resources25, no. 8–12: 861–84.
     [Google Scholar]
  7. B.G.M.R. Guangdong (Bureau of Geology and Mineral Resources of Guangdong Province). 1988. Regional geology of Guangdong province. Beijing: Geology Publishing House, pp. 1–602 (in Chinese)
  8. Bonnet, E., O.Bour, and N.E.Odling. 2001. Scaling of fracture systems in geological media. Reviews of Geophysics, 39(3): 347–383.
     [Google Scholar]
  9. Chapuis, R.P.1992. Using Cooper-Jacob approximation to take account of pumping well pipe storage effects in early drawdown data of a confined aquifer. Groundwater30, no. 3: 331–7.
     [Google Scholar]
  10. Daily, W., and A.Ramirez. 1992. Electrical resistivity tomography of vadose water movement. Water Resources Research28: 1429–42.
     [Google Scholar]
  11. Dewandel, B., P.Lachassagne, R.Wyns, J.C.Maréchal, and N.S.Krishnamurthy. 2006. A generalized 3-D geological and hydrogeological conceptual model of granite aquifers controlled by single or multiphase weathering. Journal of Hydrology330: 260–84.
     [Google Scholar]
  12. Eden, R.N., and C.P.Hazel. 1973. Computer and graphical analysis of variable discharge pumping test of wells. Institution of Engineers Australia Civil Engineering Transactions15: 5–10.
     [Google Scholar]
  13. Ellis, R.G., and D.W.Oldenburg. 1994. Applied geophysical inversion. Geophysical Journal International116: 5–11.
     [Google Scholar]
  14. Faybishenko, B., P.A.Witherspoon, and S.M.Benson (eds). 2000. Dynamics of Fluids in Fractured Rocks. Washington, DC: Geophysical Monograph Series, American Geophysical Union, 122: 400.
  15. Gao, Q., Y.Shang, M.Hasan, W.Jin, and P.Yang. 2018. Evaluation of a weathered rock aquifer using ERT method in South Guangdong, China. Water10, no. 3: 293.
     [Google Scholar]
  16. Goldman, M., and F.M.Neubauer. 2004. Groundwater exploration using integrated geophysical techniques. Surveys in Geophysics15, no. 3: 331–61.
     [Google Scholar]
  17. Griffiths, D.H., and R.D.Barker. 1993. Two-dimensional resistivity imaging and modeling in areas of complex geology. Journal of Applied Geophysics29: 211–26.
     [Google Scholar]
  18. Gustafson, G., and J.Krásný. 1994. Crystalline rock aquifers: Their occurrence, use and importance. Hydrogeology Journal2: 64–75.
     [Google Scholar]
  19. Hasan, M., Y.Shang, G.Akhter, and W.Jin. 2017. Geophysical assessment of groundwater potential: A case study from Mian Channu Area, Pakistan. Groundwater, doi:10.1111/gwat.12617.
     [Google Scholar]
  20. Hasan, M., Y.Shang, and W.Jin. 2018. Delineation of weathered/fracture zones for aquifer potential using an integrated geophysical approach: A case study from South China. Journal of Applied Geophysics157: 47–60. doi:10.1016/j.jappgeo.2018.06.017.
     [Google Scholar]
  21. Hasan, M., Y.Shang, G.Akhter, and W.Jin. 2018a. Evaluation of groundwater potential in Kabirwala area, Pakistan: A case study by using geophysical, geochemical and pump data. Geophysical Prospecting, doi:10.1111/1365-2478.12679.
     [Google Scholar]
  22. Hasan, M., Y.Shang, G.Akhter, and W.Jin. 2018b. Delineation of saline-water intrusion using surface geoelectrical method in Jahanian area, Pakistan. Water10: 1548.
     [Google Scholar]
  23. Hasan, M., Y.Shang, G.Akhter, and W.Jin. 2019a. Delineation of contaminated aquifers using integrated geophysical methods in Northeast Punjab, Pakistan. Environmental Monitoring And Assessment192: 12.
     [Google Scholar]
  24. Hasan, M., Y.Shang, W.J.Jin, and G.Akhter. 2019b. Investigation of fractured rock aquifer in South China using electrical resistivity tomography and self-potential methods. Journal of Mountain Science16, no. 4: 850–69.
     [Google Scholar]
  25. Hasan, M., Y.Shang, W.J.Jin, and G.Akhter. 2019c. Assessment of aquifer vulnerability using integrated geophysical approach in weathered terrains of South China. Open Geosciences11: 1129–50.
     [Google Scholar]
  26. Hasan, M., Y.Shang, W.J.Jin, and G.Akhter. 2020a. An engineering site investigation using non-invasive geophysical approach. Environmental Earth Sciences79: 265.
     [Google Scholar]
  27. Hasan, M., Y.Shang, W.J.Jin, and G.Akhter. 2020b. Estimation of hydraulic parameters in a hard rock aquifer using integrated surface geoelectrical method and pumping test data in southeast Guangdong, China. Geosciences Journal, doi:10.1007/s12303-020-0018-7.
     [Google Scholar]
  28. Henriet, J.P.1976. Direct applications of the Dar Zarrouk parameters in ground water surveys. Geophysical Prospecting24, no. 2: 344–35.
     [Google Scholar]
  29. Jardani, A., A.Revil, W.A.Barrash, E.Crespy, S.Rizzo, M.Straface, B.Cardiff, C.Malama, C.Miller, and T.Johnson. 2009. Reconstruction of the water table from self-potential data: A Bayesian approach. Groundwater47: 213–27.
     [Google Scholar]
  30. Jing, L.2003. A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering. International Journal of Rock Mechanics and Mining Sciences40: 283–353.
     [Google Scholar]
  31. Johnson, T.C., R.J.Versteeg, A.F.Ward, D.Day-Lewis, and A.Revil. 2010. Improved hydrogeophysical characterization and monitoring through high performance electrical geophysical modeling and inversion. Geophysics75: WA27–WA41. doi:10.1190/1.3475513.
     [Google Scholar]
  32. Kumar, D., S.Ahmed, N.S.Krishnamurthy, and B.Dewandel. 2007. Reducing ambiguities in vertical electrical sounding interpretation. Journal of Applied Geophysics62: 16–32.
     [Google Scholar]
  33. Kuusela-Lahtinen, A., A.Niemi, and A.Luukkonen. 2003. Flow dimension as an indicator of hydraulic behaviour in site characterization of fractured rock. Ground Water41, no. 3: 33–341.
     [Google Scholar]
  34. Lines, L.R., and S.Treitel. 1984. Tutorial: A review of the least-squares inversion and its application to geophysical problems. Geophysical Prospecting32: 159–86.
     [Google Scholar]
  35. Loke, M.H., I.Acworth, and T.Dahlin. 2003. A comparison of smooth and blocky inversion methods in 2D electrical imaging surveys. Exploration Geophysics34, no. 1: 182–7.
     [Google Scholar]
  36. Loke, M.H.2007. Res2dinv software user’s manual, version 3.57. Penang, Malysia: Geotomo Software, p. 86.
  37. Loke, M.H., and R.D.Barker. 1996. Rapid least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method. Geophysical Prospecting44: 131–52.
     [Google Scholar]
  38. Magowe, M., and J.R.Carr. 1999. Relationship between lineaments and ground water occurrence in Western Botswana. Ground Water37: 282–6.
     [Google Scholar]
  39. Maillet, R.1947. The fundamental equations of electrical prospecting. Geophysics12, no. 4: 529–56.
     [Google Scholar]
  40. Mendoza, J.A.2002. Geophysical and hydrogeologicalinvestigations in the Rio Sucio Watershed, Nicaragua. Lic Thesis ISBN 91972406-0-X, Lund University, Sweden, p. 60.
  41. Mortimer, L., A.Aydin, and C.Simmons. 2011. The role of in situ stress in determining hydraulic connectivity in a fractured rock aquifer (Australia). Hydrogeology Journal19: 1293–312.
     [Google Scholar]
  42. Neuman, S.P.2005. Trends, prospects and challenges in quantifying flow and transport through fractured rocks. Hydrogeology Journal13: 124–47.
     [Google Scholar]
  43. Owen, R., O.Gwavava, and P.Gwaze. 2005. Multi-electrode resistivity survey for groundwater exploration in the Harare greenstone belt, Zimbabwe. Hydrogeology Journal14: 8.
     [Google Scholar]
  44. Oxtobee, J.P.A., and K.Novakowski. 2002. A field investigation of groundwater/surface water interaction in a fractured bedrock environment. Journal of Hydrology269: 169–93.
     [Google Scholar]
  45. Revil, A., D.Hermitte, E.Spangenberg, and J.J.Cochémé. 2002. Electrical properties of zeolitized volcaniclastic materials. Journal of Geophysical Research107: 2168. doi:10.1029/2001JB000599.
     [Google Scholar]
  46. Revil, A., M.Murugesu, M.Prasad, and M.Le Breton. 2017. Alteration of volcanic rocks: A new non-intrusive indicator based on induced polarization measurements. Journal of Volcanology and Geothermal Research341: 351–62. doi:10.1016/j.jvolgeores.2017.06.016.
     [Google Scholar]
  47. Ritz, M., J.C.Parisot, S.Diouf, A.Beauvais, F.Dione, and M.Niang. 1999. Electrical imaging of lateritic weathering mantles over granitic and metamorphic basement of eastern Senegal, West Africa. Journal of Applied Geophysics41: 335–44.
     [Google Scholar]
  48. Sasaki, Y.1992. Resolution of the resistivity tomography inferred from numerical simulation. Geophysical Prospecting40: 453–64.
     [Google Scholar]
  49. Seaton, W.J., and T.J.Burbey. 2002. Evaluation of two-dimensional resistivity methods in a fractured crystalline-rock terrain. Journal of Applied Geophysics51: 21–41.
     [Google Scholar]
  50. Simyrdanis, K., N.Papadopoulos, P.Soupios, S.Kirkou, and P.Tsourlos. 2018. Characterization and monitoring of subsurface contamination from Olive Oil Mills’ waste waters using electrical resistivity tomography. Science of the Total Environment637–638, no. 1 October 2018: 991–1003. doi:10.1016/j.scitotenv.2018.04.348.
     [Google Scholar]
  51. Szalai, S., A.Novak, and L.Szarka. 2011. Which geoeletric array sees the deepest in a noisy environment? Depth of detectability values of multielectrode systems for various two dimensional models. Physics and Chemistry of the Earth36: 1398–404.
     [Google Scholar]
  52. Taylor, R., and K.Howard. 2000. A tectono-geomorphic model of the hydrogeology of deeply weathered crystalline rock: Evidence from Uganda. Hydrogeology Journal8, no. 3: 279–94.
     [Google Scholar]
  53. Wright, E.P.1992. The hydrogeology of crystalline basement aquifers in Africa. Geological Society Special Publication66: 1–27.
     [Google Scholar]
  54. Wyns, R., J.C.Gourry, J.M.Baltassat, and F.Lebert. 1999. Caractérisation multiparamètres des horizons de subsurface (0–100 m) en contexte de socle altéré. In: BRGM, IRD, UPMC, I. (Ed.), 2ème Colloque GEOFCAN, Orléans, France. pp. 105–110.
/content/journals/10.1080/08123985.2020.1819158
Loading
Geophysical investigation of a weathered terrain for groundwater exploitation: a case study from Huidong County, China
Exploration Geophysics 52, 273 (2021); https://doi.org/10.1080/08123985.2020.1819158
/content/journals/10.1080/08123985.2020.1819158
/content/journals/10.1080/08123985.2020.1819158
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): 2D modelling; Electrical methods; faults; fractures

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error